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Code Issues Packages Projects Releases Wiki Activity

1510-smoke-test (#1548)

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* 1510-smoke-test

* config default

* update tests

* update test config

* fix linter errors

* more comments

* address comments

* use npm install in push_tests.yml

* use environment.default.json

* adding docs

* Take care of @mweiden's nits

* Save screenshots in the __tests__/screenshots/ directory

* typo

* docs

* Add chart tests (#1580)

* merge tests

* check if bin creation returned null before rendering charts (#1576)

* check if bin creation returned null before rendering charts

* refactor chart rendering into functions (#1577)

* little fixes from PR

* reintroduce fix to check for null values

* change getAllByClass to return element

* slice instead

* new stackedbar test

* feedback-1573-test (#1579)

* feedback-1573-test

* enable whole test set

* revert tests

Co-authored-by: Timmy Huang <tihuan@users.noreply.github.com>

* tweak test to actually render chart

* include snapshot

* remove async

* fix getAllHistograms

* properly grab id

Co-authored-by: Timmy Huang <tihuan@users.noreply.github.com>

Co-authored-by: Matt Weiden <538456+mweiden@users.noreply.github.com>
Co-authored-by: Severiano Badajoz <sbadajoz@chanzuckerberg.com>
This commit is contained in:
Timmy Huang
2020-06-24 11:45:39 -07:00
committed by GitHub
co-authored by Matt Weiden Severiano Badajoz
parent e22e671f10
commit 83376627e8
42 changed files with 1388 additions and 887 deletions
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client/__tests__/util/dataframe/dataframe.test.js
+54 -22
View File
@@ -918,43 +918,59 @@ describe("dataframe col", () => {
});
describe("label indexing", () => {
test("IdentityInt32Index", () => {
const idx = new Dataframe.IdentityInt32Index(12); // [0, 12)
expect(Dataframe.isLabelIndex(idx)).toBeTruthy();
expect(idx.labels()).toEqual(new Int32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]));
expect(idx.labels()).toEqual(
new Int32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])
);
expect(idx.getLabel(1)).toEqual(1);
expect(idx.getOffset(1)).toEqual(1);
expect(idx.getOffsets([1,3])).toEqual([1,3])
expect(idx.getLabels([1, 3])).toEqual([1,3])
expect(idx.getOffsets([1, 3])).toEqual([1, 3]);
expect(idx.getLabels([1, 3])).toEqual([1, 3]);
expect(idx.size()).toEqual(12);
expect(idx.subset([2]).labels()).toEqual([2]);
expect(idx.subset([2, 3, 4]).labels()).toEqual(new Int32Array([2, 3, 4]));
expect(idx.subset([0, 1, 2, 3]).labels()).toEqual(new Int32Array([0, 1, 2, 3]));
expect(idx.subset([0, 1, 2, 3]).labels()).toEqual(
new Int32Array([0, 1, 2, 3])
);
expect(idx.isubset([2]).labels()).toEqual([2]);
expect(idx.isubset([2, 3, 4]).labels()).toEqual(new Int32Array([2, 3, 4]));
expect(idx.isubset([0, 1, 2, 3]).labels()).toEqual(new Int32Array([0, 1, 2, 3]));
expect(idx.isubset([0, 1, 2, 3]).labels()).toEqual(
new Int32Array([0, 1, 2, 3])
);
expect(idx.subset([0, 1, 2, 3, 4])).toBeInstanceOf(Dataframe.IdentityInt32Index);
expect(idx.subset([0, 1, 2, 3, 4])).toBeInstanceOf(
Dataframe.IdentityInt32Index
);
expect(idx.subset([2, 1, 0])).toBeInstanceOf(Dataframe.IdentityInt32Index);
expect(idx.subset([1, 2, 3, 4])).toBeInstanceOf(Dataframe.DenseInt32Index);
expect(idx.subset([0, 1, 3, 4])).toBeInstanceOf(Dataframe.DenseInt32Index);
expect(idx.subset([0, 1, 2, 3, 10])).toBeInstanceOf(Dataframe.DenseInt32Index);
expect(idx.subset([0, 1, 2, 3, 10])).toBeInstanceOf(
Dataframe.DenseInt32Index
);
expect(idx.subset([4, 3, 2, 1])).toBeInstanceOf(Dataframe.DenseInt32Index);
expect(idx.subset([4])).toBeInstanceOf(Dataframe.KeyIndex);
expect(idx.withLabel(99).labels()).toEqual(new Int32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 99]));
expect(idx.dropLabel(0).labels()).toEqual(new Int32Array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]));
expect(idx.dropLabel(11).labels()).toEqual(new Int32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]));
expect(idx.dropLabel(5).labels()).toEqual(new Int32Array([0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11]));
expect(idx.withLabel(99).labels()).toEqual(
new Int32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 99])
);
expect(idx.dropLabel(0).labels()).toEqual(
new Int32Array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])
);
expect(idx.dropLabel(11).labels()).toEqual(
new Int32Array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
);
expect(idx.dropLabel(5).labels()).toEqual(
new Int32Array([0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11])
);
});
test("DenseInt32Index", () => {
const idx = new Dataframe.DenseInt32Index([99, 1002, 48, 0, 22]);
expect(Dataframe.isLabelIndex(idx)).toBeTruthy();
@@ -964,17 +980,29 @@ describe("label indexing", () => {
expect(idx.getOffset(1002)).toEqual(1);
expect(idx.getOffset(0)).toEqual(3);
expect(idx.getLabel(0)).toEqual(99);
expect(idx.getLabels(new Int32Array([2, 4]))).toEqual(new Int32Array([48, 22]));
expect(idx.getLabels(new Int32Array([2, 4]))).toEqual(
new Int32Array([48, 22])
);
expect(idx.getLabels([2, 4])).toEqual([48, 22]);
expect(idx.getOffsets([0, 48])).toEqual([3, 2]);
expect(idx.subset([1002, 0, 99]).labels()).toEqual(new Int32Array([1002, 0, 99]))
expect(idx.getOffsets(idx.subset([1002, 0, 99]).labels())).toEqual(new Int32Array([1, 3, 0]));
expect(idx.isubset([4, 1, 2]).labels()).toEqual(new Int32Array([22, 1002, 48]));
expect(idx.subset([1002, 0, 99]).labels()).toEqual(
new Int32Array([1002, 0, 99])
);
expect(idx.getOffsets(idx.subset([1002, 0, 99]).labels())).toEqual(
new Int32Array([1, 3, 0])
);
expect(idx.isubset([4, 1, 2]).labels()).toEqual(
new Int32Array([22, 1002, 48])
);
expect(idx.withLabel(88).labels()).toEqual(new Int32Array([99, 1002, 48, 0, 22, 88]));
expect(idx.withLabel(88).labels()).toEqual(
new Int32Array([99, 1002, 48, 0, 22, 88])
);
expect(idx.withLabel(88).getOffset(88)).toEqual(5);
expect(idx.dropLabel(48).labels()).toEqual(new Int32Array([99, 1002, 0, 22]));
expect(idx.dropLabel(48).labels()).toEqual(
new Int32Array([99, 1002, 0, 22])
);
});
test("KeyIndex", () => {
@@ -991,9 +1019,13 @@ describe("label indexing", () => {
expect(idx.subset(["green", "red"]).labels()).toEqual(["green", "red"]);
expect(idx.isubset([2, 1, 0]).labels()).toEqual(["blue", "green", "red"]);
expect(idx.withLabel("yo").labels()).toEqual(["red", "green", "blue", "yo"]);
expect(idx.withLabel("yo").labels()).toEqual([
"red",
"green",
"blue",
"yo",
]);
expect(idx.withLabel("yo").getOffset("yo")).toEqual(3);
expect(idx.dropLabel("blue").labels()).toEqual(["red", "green"]);
});
});
})